The term andldquo;Bikhit Bharatandrdquo; reflects a fragmented India, where digital advancements coexist with glaring inequalities. The digital divide is not just about internet access but also disparities in digital literacy, affordability, and infrastructure.

Agriculture 4.0 is the latest development in Agricultural sector using technology, in the line of industrial revolution this fourth agriculture revolution has been arrived where digital technologies dedicated for advanced, smarter, environmental friendly agricultural systems. As far as enhancement in sustainability, technological utilizations are concerned with effective farm methods Agriculture 4/.0 promises new hope.

The basic philosophy of Agricultural 4.0 integrates various digitalization, automation systems including artificial intelligence, machine learning and deep learning, robots, big data and analytics, Internet of Things, cloud computing, augmented reality, and so on. As industry transforming as well as upgrading day by day therefore agriculture sector is also growing rapidly. Industry development is impacted without expansion of agricultural growth. Agriculture 4.0 is the advance and transformed agriculture system in association with state-of-art technology. Technological support makes the agricultural system healthy and advanced. Various technologies are involved in progress of agriculture 4.0. Technology involve in development of agriculture sector in connection with improvement of various areas of agriculture such as farming process, food supply chain, monitoring of weather condition and other areas. This paper is a theoretical and conceptual work dedicated in finding Agriculture 4.0 including features, functions, impact and role in advancing agricultural sector.

Cyber-physical systems (CPS) are characterised by integrating physical and computational components, which use embedded systems and internetwork connectivity. These systems operate in real-time, facilitating interaction and control of physical elements to address problem-solving scenarios. Cyber-physical systems

(CPS) operate in digital and physical realms, so their actions, such as those in smart homes or medical devices, can significantly affect individualsandrsquo; privacy. For instance, they may automatically adjust home settings based on user behaviour or monitor vital signs in real-time. Consequently, CPS can potentially infringe upon an individualandrsquo;s private spaces, such as homes, personal vehicles, or workplaces, through pervasive sensing and actuation, thereby constraining personal autonomy. As they increasingly permeate our daily lives, empowering individuals to manage their data privacy and safeguarding against potential threats becomes paramount. This article introduces a novel Privacy Consent Management Architecture (PCMA) to address these concerns. We discuss the architectureandrsquo;s components, functionality, and benefits, demonstrating its effectiveness in safeguarding privacy and security in CPS. The PCMA is a symmetric system that allows transaction parties to balance the sharing of privacy data and benefits of the transaction to the privacy data owner through a policy-based negotiating framework. The enforcement of privacy data consent enables users to manage their privacy data actively and, importantly, fosters trust, a critical factor in complex CPS environments. The PCMA introduces a dynamic architecture for privacy management, offering the potential to manage and strengthen privacy and security in CPS environments, giving hope for a more secure future.andnbsp;

Ovarian cancer, with its high fatality rate, continues to pose a major challenge in cancer treatment, primarily because it is often diagnosed at advanced stages and there are no dependable methods for early detection. Current diagnostic approaches, such as imaging and biomarker analysis, often time consuming to provide the necessary specificity and sensitivity, leading to delayed interventions. Artificial Intelligence (AI), utilizing advanced Machine Learning (ML) and Deep Learning (DL) techniques, is transforming the diagnosis and prognosis of ovarian cancer. This overview examines the significant impact of AI in boosting early detection, increasing diagnostic accuracy, and personalizing treatment approaches. AIdriven algorithms, especially Convolutional Neural Networks (CNNs), have demonstrated great potential in processing complex medical data, such as imaging, genomic information, and clinical records. In early detection, AI integrates biomarkers such as CA-125 levels with imaging findings to stratify patients into risk categories, minimizing false positives and negatives. In diagnostic imaging, AI enhances the interpretation of ultrasound, CT, and MRI scans by identifying subtle features that distinguish malignant from benign masses, significantly improving radiological accuracy. In addition to diagnosis, AI is crucial in forecasting patient outcomes by evaluating multi-dimensional data to determine tumor aggressiveness, recurrence risks, and treatment responses. This helps in creating personalized treatment strategies tailored to tumor genomics and individual patient profiles. Furthermore, AI-driven drug discovery speeds up the identification of new therapeutic agents, further enhancing precision oncology. However, despite its potential, AI faces challenges, including the need for high-quality datasets, transparency in algorithms, and addressing ethical issues like data privacy and bias. However, with continued technological advancements and interdisciplinary collaboration, AI has the potential to transform ovarian cancer management, ultimately improving survival rates and patient well-being. This abstract highlights the significance of AI as an essential resource in the fight against ovarian cancer.

Cybersecurity has turned out to be a highly important issue in digital technologies across India, cybersecurity

has become a critical issue. The Cyber Swachhata Abhiyaan (CSA) is an initiative launched by the Government of India towards creating a safer cyberspace through citizen education, free provision of tools, and addressing issues related to cybersecurity threats. This paper analyzes the CSA, in addition to other government initiatives that are there to combat cybercrime. It also talks about the emerging cyber threats like cyber slavery, digital arrest, doxxing, phishing, ransomware, identity theft, cyber-bullying, online scams, credential stuffing, and ad fraud. It further discusses how CSA and related policies help mitigate these cyber threats and enhance the security posture of India in terms of cybersecurity.

This paper investigates the crucial importance of digital literacy in higher education and its relevance in equipping students for the changing requirements of the contemporary job market. The growing dependence of sectors on digital tools and platforms has generated a critical demand for graduates who possess sophisticated digital capabilities. The present paper investigates the optimal integration of digital literacy into the curricula of higher education institutions while considering the potential advantages and obstacles linked to this integration. Significant obstacles, such as constraints in resources, inadequate training of faculty, and different degrees of digital competence among students, are recognized and examined. Furthermore, the study outlines methods to improve digital literacy, including curriculum restructuring, cooperation with industry partners, and the integration of practical learning opportunities. By highlighting the importance of digital literacy, this paper aims to give educators, policymakers, and institutions actionable insights to better prepare students for the workforce of the future.